Data licensing
An exclusive license pays more per deal and a non-exclusive one pays more over time. Nobody has published what the premium is for company operating records, and the word that costs an owner most is usually not the one they are worried about.
Disclosure: BLACKSIG may receive a referral fee from buyers named on this page when a company we introduce licenses its data. There is no fee to the company.
An exclusive license pays more per deal and a non-exclusive one pays more over time, and the honest state of the evidence is that nobody has published what the premium is for company operating records. "The Economics of AI Training Data" (Oderinwale and Kazlauskas, arXiv, October 2025) catalogues 24 training data deals from 2020 to 2025: 20 non-exclusive, 3 exclusive, and it says exclusivity of the kind in News Corp's deal with OpenAI, listed there at more than $250M over five years, commands price premiums, without putting a multiple on it. In the company data segment the picture flips. Polyshares publishes four licenses on its own track record page, from $110,000 for a marketing agency to $450,000 for a roofing company, and describes every one as a perpetual exclusive license to the operational record. Labelbox's Prism program says its partnerships are structured as exclusive by default. micro1, Mercor and Scale AI publish nothing about exclusivity at all, read on their program pages on November 3, 2026. So the offer in front of you is more likely to be exclusive than market commentary suggests, the word doing the damage is usually "perpetual" rather than "exclusive", and the two can be separated if you ask.
An exclusive license pays more for one deal and costs you every other deal, which is why the answer depends on whether you think another buyer will want the same records. Exclusivity is a promise that nobody else gets this material, and a buyer pays for that promise because it removes the risk of a competitor training on the same thing.
The directional claim is sourced. "The Economics of AI Training Data", submitted to arXiv in October 2025 by Hamidah Oderinwale and Anna Kazlauskas, says of its catalogue of deals that "Most licenses are non-exclusive" because providers retain ownership and monetize simultaneous access to multiple buyers, and that exclusivity like the News Corp deal commands price premiums.
The size of that premium is not published for this market. The multiples in circulation, which run from 2.5 times to 20 times depending on the page, come from commentary about publishers licensing written and visual content, and the sites carrying them cite each other rather than any deal. No figure of that kind appears in the arXiv catalogue, and none of the company data buyers read for this page publishes a dual-rate card. Labelbox's Prism program comes closest to addressing it, saying on its FAQ that any extra exclusivity is reflected in the buyer's price rather than taken out of the seller's, which tells you the premium exists without telling you its size.
What you can price is your own side of it. Ask what a second license of the same records would plausibly be worth in two years, discount it for the chance that nobody wants it by then, and compare that to the premium on the table now. If the premium is small and your record is unusual, exclusivity is the worse trade. If the premium is large and your record is ordinary, take it.
The difference is what you keep the right to do next. An exclusive license grants one buyer the sole right to use the licensed records, and a non-exclusive license lets you license the same records again to someone else. In both cases you keep ownership: micro1 states on its program page that companies retain ownership of their underlying data, and Polyshares states that "You keep the business, the data, and the right to keep using it exactly as before."
Ownership is doing less work in that sentence than it sounds. Keeping the right to use your own records is not the same as keeping the right to license them, and exclusivity takes the second one away for as long as it runs.
| Exclusive license | Non-exclusive license | |
|---|---|---|
| What you grant | Sole right to use the licensed records | A right to use them, alongside others |
| What you keep | Ownership and your own continued use | Ownership, your own use, and the right to license again |
| What it pays | More per deal; the arXiv catalogue says exclusivity commands premiums, with no published multiple for company data | Less per deal, more in total if a second buyer appears |
| Who offers it in company data | Polyshares describes all four of its published licenses as perpetual exclusive; Labelbox Prism says its partnerships are exclusive by default | Not published by micro1, Mercor or Scale AI either way; Prism offers single-buyer access and time-based windows as alternatives |
| Share of the wider market | 3 of 24 deals catalogued 2020 to 2025 | 20 of 24 |
| What to watch | Whether exclusivity is bundled with a perpetual term | Whether the buyer can sublicense onward |
The row to study is the last one. Non-exclusive is not automatically the safer choice: a non-exclusive license that permits unrestricted sublicensing can put your records in more hands than an exclusive one, with less to show for it.
Buyers of company operating data mostly do not say, and both of the two that do say ask for exclusivity. This is the single most useful fact on this page and it is a matter of reading six program pages, which we did on November 3, 2026.
Polyshares publishes a track record page listing four selected licenses: $450,000 for a roofing company, $300,000 for a general contractor, $275,000 for a solar company and $110,000 for a global marketing agency. Each is described as a perpetual exclusive license to the operational record, with records anonymized before delivery, an offer inside one to two weeks and payment net 30 to 60.
Labelbox's Prism program is the other. Its FAQ states that partnerships are structured as exclusive by default, and that other structures including single-buyer access and time-based windows are available instead. That is the most useful sentence published by any buyer in this market, because it tells you both the default and that the default is negotiable.
micro1, Mercor and Scale AI publish nothing about exclusivity or license term. One line on micro1's page is easy to misread as an exclusivity term: "Your data is licensed exclusively to labs and enterprises based in the U.S. and allied countries". That restricts which buyers can receive the data by geography. It says nothing about whether one buyer gets it alone.
So the practical position for an owner is that exclusivity is a live question on every offer and a published question on two of them. Ask it in the first call, before scoping, because it changes what the whole conversation is worth. A buyer that intends an exclusive perpetual license and has not said so is not hiding anything, in fairness: it is working from a template and waiting to be asked.
Perpetual is the word that should slow you down, because exclusivity expires and a perpetual grant does not. An exclusive license for three years costs you three years of other deals. A perpetual license costs you all of them, and in this market the two usually arrive together.
All four of the licenses Polyshares publishes on its track record page are perpetual as well as exclusive. Of the rest, only Prism publishes anything term-shaped, and what it publishes is a deletion trigger rather than an end date. Nobody else publishes a term either way, which means the term is whatever the first draft says.
The reason this matters more than it would in other licensing markets is that the underlying use cannot be undone. "Once data is used to train a model, it cannot practically be pulled back out", as Daniel Goldberg of Frankfurt Kurnit Klein & Selz wrote on October 1, 2026, and the published research on removing data from trained models says the same: "Textual Unlearning Gives a False Sense of Unlearning" (Du and five co-authors, arXiv, June 2024) reports that unlearned texts can still be detected with very high confidence after unlearning. Prism's own FAQ agrees, stating that models already trained on the data cannot be unlearned.
Put those together and the shape of a sensible deal becomes clear. The training that has already happened is permanent whatever the contract says, so what a term limit buys you is the right to stop future training and to license the material again. Giving that up perpetually, in exchange for a one-time payment set by a buyer who knows more about the market than you do, is the main way an owner loses money in this market without noticing.
An exclusive license is the right choice when your record is ordinary, the premium is real, and you want to be finished. Three situations make it the better deal.
The first is a commodity record. If your company's operating history looks much like a hundred other firms in the same trade, a second buyer is unlikely, and holding out for non-exclusive optionality means keeping an option that will probably expire worthless.
The second is a buyer who will pay visibly more for it. The premium has to be on the table and quantified, not implied. If the exclusive and non-exclusive offers are within ten per cent of each other, the exclusivity is being had for free.
The third is a company that is closing, selling or has already stopped trading. MIT Technology Review reported on October 13, 2026 that SimpleClosure's Asset Hub has handled more than 150 deals and expects to return more than $10 million to startups by the end of 2026, with 47% of its deals now including code or data sales. For a company winding down there is no future to preserve optionality for, and a clean exclusive sale is the right answer.
What makes it wrong is the combination most owners are offered: exclusive, perpetual, and priced on a number you have no way to benchmark. That is not an argument against exclusivity. It is an argument for pricing it.
Insist on non-exclusive when your records are unusual, when more buyers are arriving, or when you cannot yet tell what you have. Each of those is a reason to keep the option open, and the market data supports the default: 20 of the 24 deals catalogued in the arXiv paper are non-exclusive, because providers monetize simultaneous access to multiple buyers.
An unusual record is the clearest case. A long history in a trade that labs are actively trying to model, with the reasoning visible in the records, is the kind of material a second and third buyer will want. Selling it once and permanently is the one decision you cannot revisit.
A rising number of buyers is the second. The Next Web reported on October 9, 2026 that micro1 alone plans to spend $1bn over roughly the next year acquiring and licensing operational data from companies, financed by Citi and Hercules Capital. Supply is scarcer than capital at the moment.
The third case is the one most owners are actually in: you do not know which part of your archive is valuable. MIT Technology Review's October 2026 report notes that buyers quote widely different numbers because valuations rest on research theses about how many useful tasks a dataset will yield. When the buyer's own valuation is a hypothesis, locking yourself to the first one is premature. Take a non-exclusive license on a narrower scope, find out what the market says, and come back with the rest.
Keep the premium without locking up your records by separating the two things buyers bundle and pricing each one. Exclusivity and a perpetual term are different concessions, and an owner who gives them away together gets paid once for both.
Four moves do most of the work. Limit exclusivity by time, so it runs for a defined period and then lapses. Limit it by field of use, so the buyer is the only one using the records for a named purpose while other purposes stay open. Limit the scope itself, licensing part of the archive exclusively and keeping the rest. And set a term on the license whether or not exclusivity is part of it, because the term is what stops future training.
None of those is an unusual ask. Labelbox Prism publishes two of them as standard alternatives on its FAQ, single-buyer access and time-based windows, which is useful evidence to carry into a conversation with a buyer whose template says perpetual and exclusive. A buyer refusing all four is telling you the exclusivity is the whole point of the deal, which is worth knowing before you discuss money.
One sequencing point matters more than any of them: decide which shape you want before you apply anywhere. Signing an exclusive license with the first buyer closes off every other buyer, and the order of events in this market, with offers arriving inside one to two weeks at some buyers, does not leave much room to change your mind afterwards.
If the first offer you receive is exclusive and perpetual, that is not a reason to walk away. It is the first draft.
No published figure exists for company operating records, and the multiples you will find elsewhere are about something else. "The Economics of AI Training Data" (arXiv, October 2025) says exclusivity commands price premiums and lists News Corp's deal with OpenAI, at more than $250M over five years, as the exclusive example, without stating a multiple. The 2.5 times to 20 times ranges circulating on affiliate and generated sites all concern publishers licensing written and visual content, and they cite each other rather than any deal. Ask your buyer for both numbers on the same scope and you will have the only premium that matters, which is yours.
Directly, in the first scoping call, before you discuss price. Ask whether their standard license is exclusive, whether it is perpetual, and what each one is worth separately. Then ask for a term-limited or field-of-use version. None of this is unusual: Labelbox Prism publishes single-buyer access and time-based windows as alternatives to its exclusive default, and a buyer working from a template will often agree to a narrower grant for a modest discount, because a template is not a position.
No, and the difference is narrower than it looks. A perpetual exclusive license leaves you owning the records, and Polyshares states that you keep the business, the data and the right to keep using it exactly as before. What you no longer have is the right to license the same material to anybody else, ever, which for a company whose records are its only licensable asset is close to a sale in economic terms. Our page on what happens to your data after you license it covers the rest of the permanence question.
Yes, if every license you sign is non-exclusive and none of them restricts it. That is the main commercial reason to resist exclusivity on an unusual record, and the arXiv catalogue says it is what most providers in the wider market do: 20 of 24 deals non-exclusive, with providers monetizing simultaneous access to multiple buyers. Watch the sublicensing clause as well, because a non-exclusive license that lets the buyer pass the dataset on freely can reach more labs than an exclusive one would.
You can do this yourself with counsel, and the decision is a commercial one rather than a legal one, so the lawyer reading the clause is not the person who can tell you what your optionality is worth. This page is published by BLACKSIG, which reviews these offers with owners and takes companies to the buyer whose terms fit, so read it the way you would read any interested party's account of the work it is paid for. We are independent of every buyer named here and we are not a partner, agent or representative of any of them. The buyer pays us a referral fee when a license closes and there is no fee to the company. We are not lawyers and this is not legal advice.
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